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IT businesses combat privacy risks with:

1. Quantum-Safe Cryptography

  • NIST-approved CRYSTALS-Kyber implementation in VPNs
  • Google's Chrome testing post-quantum TLS 1.3

2. Privacy-Enhancing Computation

  • Homomorphic encryption for healthcare analytics (Duality Technologies)
  • Federated learning (Apple's keyboard predictions trained on-device)

3. AI Governance

  • IBM's AI FactSheets for model transparency
  • EU AI Act compliance tools (SAP's Responsible AI toolkit)

4. Data Sovereignty Solutions

  • AWS Local Zones for in-country data residency
  • Microsoft's EU Data Boundary for cloud services

5. Behavioral Biometrics

  • BioCatch's 500+ behavioral parameters for fraud detection
  • Mastercard's "selfie pay" with liveness detection

6. Automated DSAR Handling

  • OneTrust processes 1M+ data subject requests annually
  • Snowflake's data clean rooms for secure sharing

7. Decentralized Identity

  • DID protocols using Ethereum (Microsoft ION)
  • Singapore's National Digital Identity framework

8. Dark Web Monitoring

  • Palo Alto's Unit 42 tracks 650K+ compromised credentials daily
  • HaveIBeenPwned integration in enterprise security tools

9. Ethical Data Monetization

  • Databricks' Delta Sharing for GDPR-compliant data exchanges
  • Brave's BAT tokens for privacy-preserving ad revenue

10. Incident Response Automation

  • Darktrace's Antigena makes autonomous breach containment decisions
  • PagerDuty's AI ops reduces MTTR by 75%

krishna

Krishna is an experienced B2B blogger specializing in creating insightful and engaging content for businesses. With a keen understanding of industry trends and a talent for translating complex concepts into relatable narratives, Krishna helps companies build their brand, connect with their audience, and drive growth through compelling storytelling and strategic communication.

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